Skip to main content

The olr function runs all the possible combinations of linear regressions with all of the dependent variables against the independent variable and returns the statistical summary of either the greatest adjusted R-squared or R-squared term.

datasetname = pd.read_csv('C:\Rstuff\olr\inst\extdata\oildata.csv') resvarname = datasetname[['OilPrices']] expvarnames = datasetname[['SP500', 'RigCount', 'API', 'Field_Production', 'RefinerNetInput', 'OperableCapacity', 'Imports', 'StocksExcludingSPR']]

The TRUE or FALSE in the olr function, specifies either the adjusted R-squared or the R-squared regression summary, respectfully.

Adjusted R-squared
olr(datasetname, resvarname, expvarnames, adjr2 = "True")

R-squared
olr(datasetname, resvarname, expvarnames, adjr2 = "False")

list of summaries
olrmodels(datasetname, resvarname, expvarnames)

list of formulas
olrformulas(datasetname, resvarname, expvarnames)

list of forumlas with the dependant variables in ascending order
olrformulasorder(datasetname, resvarname, expvarnames)

the list of adjusted R-squared terms
adjr2list(datasetname, resvarname, expvarnames)

the list of R-squared terms
r2list(datasetname, resvarname, expvarnames)

There is an R version of this package.

Metadata

Release files for olr 1.1.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for olr 1.1.6
File Size Uploaded
olr-1.1.6.tar.gz 2.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for olr 1.1.6
File Interpreter ABI Platform
olr-1.1.6-py3-none-any.whl Python 3 none any Details

Total release size: 20.1 kB

Release files / olr-1.1.6.tar.gz

Download URL olr-1.1.6.tar.gz
Size 2.4 kB
Tags Source
SHA-256 checksum
How to use checksums
5652086bd7c0945475b34ec8507569d7637fbb60a8030631ad894f7c9263d5b4
BLAKE2b-256 checksum
How to use checksums
fdf050eac8a2b759b2ec8fd69da2f91024dbdf7a5e564863360450a8e24aa281
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3

Release files / olr-1.1.6-py3-none-any.whl

Download URL olr-1.1.6-py3-none-any.whl
Size 17.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ee56a7ff9babdb70bb18612654e104936bbd3eeed6d677b983a8a1a34bee5b4a
BLAKE2b-256 checksum
How to use checksums
04a4cb8252e8da792ec96680696276749d52bc1c41ba9425ea011156a60e5bf1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.3

Release history Release notifications | RSS feed

1.3.6

2 release files

1.3.5

2 release files

1.3.4

2 release files

1.3.3

2 release files

1.3.2

2 release files

1.3.1

2 release files

1.3.0

2 release files

1.2.2

2 release files

1.2.1

2 release files

1.2.0

2 release files

1.1.9

2 release files

1.1.8

2 release files

1.1.7

2 release files

This release

1.1.6 This release

2 release files

1.1.4

2 release files

1.1.2

2 release files

1.1.1

2 release files

1.1.0

2 release files

1.0.9

2 release files

1.0.8

2 release files

1.0.7

1 release file

1.0.6

2 release files

1.0.5

2 release files

1.0.4

2 release files

1.0.3

2 release files

1.0.2

2 release files

1.0.1

2 release files

1.0.0

2 release files

0.0.9

2 release files

0.0.8

2 release files

0.0.7

2 release files

0.0.6

2 release files

0.0.5

2 release files

0.0.4

2 release files

0.0.3

2 release files

0.0.2

1 release file

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page